Xiaoyong Shen
- Computer Vision and Pattern Recognition top 0.2%
- Media Technology top 0.5%
- Aerospace Engineering top 2%
- Artificial Intelligence top 2%
- Computational Mechanics top 2%
- Topics
- Advanced Vision and Imaging (12 papers)Advanced Image Processing Techniques (10 papers)Image Enhancement Techniques (10 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceACM Transactions on GraphicsInternational Journal of Computer Vision
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaoyong Shen
43 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 3.5k
- Media Technology 765
- Aerospace Engineering 640
- Artificial Intelligence 510
- Computational Mechanics 415
Countries citing papers authored by Xiaoyong Shen
This map shows the geographic impact of Xiaoyong Shen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaoyong Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyong Shen more than expected).
Fields of papers citing papers by Xiaoyong Shen
This network shows the impact of papers produced by Xiaoyong Shen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaoyong Shen. The network helps show where Xiaoyong Shen may publish in the future.
Co-authorship network of co-authors of Xiaoyong Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyong Shen. A scholar is included among the top collaborators of Xiaoyong Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoyong Shen. Xiaoyong Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | STD: Sparse-to-Dense 3D Object Detector for Point Cloudbreakdown → | 569 |
| 5 | 86 | |
| 6 | Fast Point R-CNNbreakdown → | 266 |
| 7 | 163 | |
| 8 | 28 | |
| 9 | 142 | |
| 10 | 154 | |
| 11 | Image inpainting via generative multi-column convolutional neural networks | 114 |
| 12 | 1 | |
| 13 | 9 | |
| 14 | 100 | |
| 15 | 14 | |
| 16 | 249 | |
| 17 | 39 | |
| 18 | Description and reasoning method of uncertain temporal knowledge based on IFTPN | 3 |
| 19 | 6 | |
| 20 | The Semantic Match Degree for Intuitionistic Fuzzy Reasoning | 1 |
About Xiaoyong Shen
Xiaoyong Shen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 43 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Advanced Image Processing Techniques (10 papers) and Image Enhancement Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.5k citations), Media Technology (765 citations) and Geology (277 citations). Xiaoyong Shen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Jiaya Jia, Shu Liu, Chi‐Wing Fu, Yanan Sun, Zetong Yang, Xin Tao, Wei‐Shi Zheng, Ruixing Wang, Qing Zhang and Yilun Chen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and International Journal of Computer Vision.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.